4.7 Article

A smartphone-based centrifugal mHealth platform implementing hollow daisy-shaped quick response chip for hematocrit measurement

Related references

Note: Only part of the references are listed.
Article Chemistry, Analytical

Handyfuge Microfluidic for On-Site Antibiotic Susceptibility Testing

Peng Chen et al.

Summary: Low-cost, portable, and robust handyfuge-AST was developed as an electricity-free microfluidic chip for on-site antibiotic susceptibility testing (AST). It enables the generation of accurate antibiotic concentration gradients within minutes and provides accurate MIC values for antibiotics against Escherichia coli in a short time. With the upgraded pH-based colorimetric strategy, handyfuge-AST allows easy recognition and can be used as a point-of-care device, achieving 100% categorical agreements with clinical standard methods.

ANALYTICAL CHEMISTRY (2023)

Article Chemistry, Analytical

Hand-powered centrifugal micropipette-tip with distance-based quantification for on-site testing of SARS-CoV-2 virus

Chungen Qian et al.

Summary: This paper proposes a hand-powered centrifugal micropipette-tip strategy for all-in-one immunoassay of SARS-CoV-2. The strategy enables sensitive and reliable quantification of the virus within 25 minutes. With the advantages of free washing, free fabrication, free instrument, and without the optical device, the proposed strategy shows great potential for quantitative point-of-care diagnostics for SARS-CoV-2.

TALANTA (2023)

Review Multidisciplinary Sciences

Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

Bangfeng Wang et al.

Summary: The frequent outbreak of global infectious diseases has led to the development of rapid and effective diagnostic tools for early screening of potential patients. Researchers have shown significant interest in smartphone-based mobile health platforms that integrate microfluidic optical detection with artificial intelligence analysis. This article summarizes recent progress in these platforms, including microfluidic chips, imaging modalities, supporting components, and software algorithms. The application of these platforms in detecting various objects, such as molecules, viruses, cells, and parasites, is also discussed. Future directions for the development of mobile health platforms are addressed.

NATURE COMMUNICATIONS (2023)

Article Chemistry, Analytical

A magnet-actuated microfluidic array chip for high-throughput pretreatment and amplification and detection of multiple pathogens

Mengfan Zhou et al.

Summary: This study developed a magnet-actuated microfluidic array chip (MMAC) for rapid and accurate detection of multiple pathogens. The MMAC has the advantages of high specificity and low contamination, making it potentially useful for immediate diagnosis.

ANALYST (2022)

Article Chemistry, Multidisciplinary

Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning

Ahmed Shokr et al.

Summary: An easily reconfigurable virus diagnostic platform was developed using adversarial neural networks, leveraging a dataset of smartphone-taken microfluidic chip photos to rapidly generate image classifiers for different target pathogens.

ACS NANO (2021)

Article Chemistry, Multidisciplinary

Flipped Quick-Response Code Enables Reliable Blood Grouping

Hong Zhang et al.

Summary: Accurate and rapid blood typing is crucial in various medical and forensic situations, and a new FLIPPED platform utilizing color changes and QR codes was demonstrated to achieve automatic blood group identification. A color correction model and algorithm were also designed to remove errors from scanning angles and ambient light intensities, improving accuracy in identifying weak agglutination. This approach showed comparable accuracy and repeatability to traditional methods, making it a versatile platform for clinical diagnostics, food safety, and environmental monitoring.

ACS NANO (2021)

Article Engineering, Biomedical

A fidget spinner for the point-of-care diagnosis of urinary tract infection

Issac Michael et al.

NATURE BIOMEDICAL ENGINEERING (2020)

Article Health Care Sciences & Services

Automated screening of sickle cells using a smartphone-based microscope and deep learning

Kevin de Haan et al.

NPJ DIGITAL MEDICINE (2020)

Article Biophysics

Printable QR code paper microfluidic colorimetric assay for screening volatile biomarkers

Alison Burklund et al.

BIOSENSORS & BIOELECTRONICS (2019)

Article Chemistry, Analytical

Blood Plasma Separation Using a Fidget-Spinner

Chao-Hsuan Liu et al.

ANALYTICAL CHEMISTRY (2019)

Article Nanoscience & Nanotechnology

Anticounterfeiting Quick Response Code with Emission Color of Invisible Metal-Organic Frameworks as Encoding Information

Yong-Mei Wang et al.

ACS APPLIED MATERIALS & INTERFACES (2018)

Article Chemistry, Multidisciplinary

Motion-Based Immunological Detection of Zika Virus Using Pt-Nanomotors and a Cellphone

Mohamed Shehata Draz et al.

ACS NANO (2018)

Article Computer Science, Artificial Intelligence

Fast detection method of quick response code based on run-length coding

Shiren Li et al.

IET IMAGE PROCESSING (2018)

Article Multidisciplinary Sciences

DNA engineered micromotors powered by metal nanoparticles for motion based cellphone diagnostics

Mohamed Shehata Draz et al.

NATURE COMMUNICATIONS (2018)

Article Engineering, Biomedical

Hand-powered ultralow-cost paper centrifuge

M. Saad Bhamla et al.

NATURE BIOMEDICAL ENGINEERING (2017)